• Economic and Environmental Geology
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• v.44 no.5
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• pp.433-442
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• 2011

In Korea, groundwater management has been conducted based on the estimation of annual average of groundwater recharge. Since groundwater recharge and surface water-groundwater interactions show spatiotemporal variation, continuous monitoring and dynamic analysis must be carried out to evaluate the sustainability of groundwater resources. In this study, SWAT-MODFLOW, an integrated surface water-groundwater model was used to analyze surface-groundwater interactions for various groundwater pumping scenarios in Musimcheon watershed. When current usage is applied, the baseflow reduction is about 16%, and annual averaged storage reduction is about 27 mm for whole watershed. As a holistic approach to groundwater sustainability considers the hydrological, ecological, socioeconomic, technological aspects of groundwater utilization, the exploitable groundwater should be determined by physical analysis as well as social compromise in a community.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.2
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• pp.378-391
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• 2017

The application of Big Data has been introduced to the Korean fashion industry; however, the literature has not yet investigated how well high technologies are being perceived and adopted by the practitioners of fashion companies. Recognizing the lack of research, the current research explores how big data analysis has been adopted by fashion practitioners based on the Technology Acceptance Model (TAM) that considers the effect of organizational characteristics (i.e., innovation, slack, and IS infra maturity). First, all TAM relationships were accepted as significant; however, the effect of perceived ease of use on the attitude toward big data was greater than perceived usefulness. Regarding organizational characteristics, while organization innovation had positive impacts on perceived usefulness as well as perceived ease of use, organization slack did not show significant and positive influence on perceived ease of use only. On the other hand, IS infra maturity had a negative effect on perceived usefulness while it did not have any significant impact on perceived ease of use. Finally, the level of perceived usefulness is decreasing as the IS infra of the fashion organization becomes more mature. With the results, the study suggested that fashion industry needs more education on the usage of big data analysis systems and development in related analysis tools.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.1
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• pp.72-78
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• 2015

Recently, the usage of the satellite is increased more and more in the areas that are communication, weather, marine, optical, radar etc. The functions of the Satellite are evolving from passive transponder to active transponder by the developing of a technology. Advanced countries in satellites install the DCAMP for increase of bandwidth efficiency, improvement of QoS by interference rejection. DCAMP includes many digital components in order to implement functions. Thus, these kinds of active transponders consume much more power compared to passive transponder and then increase the heat. In this paper, we discuss the TVAC test result of DCAMP in EQM(Engineering Qualification Model) level. The paper shows the test results of digital gain control in order to verify DCAMP status under the TVAC test. In addition, the temperature and heat condition of main components from viewpoint of derating will be treated through the official environment test for qualification.

• Journal of Communications and Networks
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• v.12 no.1
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• pp.52-66
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• 2010

Since large objects consume substantial resources, web proxy caching incurs a fundamental trade-off between performance (i.e., hit-ratio and latency) and overhead (i.e., resource usage), in terms of caching and relaying large objects to users. This paper investigates how and to what extent the current dedicated-server based web proxy caching scheme is affected by large file transfers in a high bandwidth campus network environment. We use a series of trace-based performance analyses and profiling of various resource components in our experimental squid proxy cache server. Large file transfers often overwhelm our cache server. This causes a bottleneck in a web network, by saturating the network bandwidth of the cache server. Due to the requests for large objects, response times required for delivery of concurrently requested small objects increase, by a factor as high as a few million, in the worst cases. We argue that this cache bandwidth bottleneck problem is due to the fundamental limitations of the current centralized web proxy caching model that scales poorly when there are a limited amount of dedicated resources. This is a serious threat to the viability of the current web proxy caching model, particularly in a high bandwidth access network, since it leads to sporadic disconnections of the downstream access network from the global web network. We propose a peer-to-peer cooperative web caching scheme to address the cache bandwidth bottleneck problem. We show that it performs the task of caching and delivery of large objects in an efficient and cost-effective manner, without generating significant overheads for participating peers.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.137-146
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• 2011

In order to support increased consumer awareness regarding energy consumption, we present new ways of monitoring and predicting with energy in electric appliances. The proposed system is a design of a common electrical power outlet called smart plug that measures the amount of current passing through current sensor at 0.5 second. To acquire data for training and testing the proposed neural network, weather parameters used include average temperature of day, min and max temperature, humidity, and sunshine hour as input data, and power consumption as target data from smart plug. Using the experimental data for training, the neural network model based on Back-Propagation algorithm was developed. Multi layer perception network was used for nonlinear mapping between the input and the output data. It was observed that the proposed neural network model can predict the power consumption quite well with correlation coefficient was 0.9965, and prediction mean square error was 0.02033.

• Journal of KIISE
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• v.43 no.9
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• pp.1060-1065
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• 2016

Recently, there is an emerging need for parallel UHD video processing, and the usage of computing systems that have an asymmetric processor such as ARM big.LITTLE is actively increasing. Thus, a new parallel UHD video processing method that is optimized for the asymmetric multicore systems is needed. This paper proposes a novel HEVC tile partitioning method for parallel processing by analyzing the computational power of asymmetric multicores. The proposed method analyzes (1) the computing power of asymmetric multicores and (2) the regression model of computational complexity per video resolution. Finally, the model (3) determines the optimal HEVC tile resolution for each core and partitions/allocates the tiles to suitable cores. The proposed method minimizes the gap in the decoding time between the fastest CPU core and the slowest CPU core. Experimental results with the 4K UHD official test sequences show average 20% improvement in the decoding speedup on the ARM asymmetric multicore system.

• Informatization Policy
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• v.27 no.1
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• pp.36-54
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• 2020

This study empirically analyzes the impact of digital divide between digital device usage motivation and operational skills on online political participation. The analysis was performed using the National Information Society Agency's 2018 digital divide survey data from September to December 2018 and applying the Heckman selection model to control the sample selection bias that may occur between internet users and non-users. The result shows the gap in motivation and device operational skills of individual citizens using digital devices has significant impact on online political participation. In socio-economic terms, it shows the age, education level and regional factors also have significant impact on online political participation, while gender and income levels do not. This study holds significance in that there are different patterns of digital divide between digital devices, identifying the motivation to use a digital device as an important factor for mobile device users, and the device operational skills, for personal computer users.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.1041-1047
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• 2020

The intention of this paper is to give a better understanding about the implementation of sustainable manufacturing practice in the textile companies in Indonesia as one of the promising sectors in the manufacturing industry. The data was collected by taking a case study approach in one of the leading textile companies in Indonesia. Questionnaire and interview techniques were used to gather in-depth information about the implementation of a sustainable concept in the company. The result reveals that the extent of the implementation of Sustainable Manufacturing Practices (SMP) in the companies are at a level of moderate to high. From the three dimensions measured which are environment, economy, and social dimensions, the evaluation result shows good performance in terms of the implementation of sustainable concepts, like low level of gas emission, high percentage of renewable energy usage, cost reduction rate, high quality of life, etc. From this result, the authors then develop a sustainable manufacturing model in the wider coverage to be implemented not only in the textile industry but is expected to be implemented in manufacturing sectors as well. This model consists of at least seven basic archetypes which are divided into three dominant areas: technological innovation, economical, and social areas which aim to bring better performance in the manufacturing industry of Indonesia.

• Journal of the Korean Society of Safety
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• v.26 no.6
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• pp.130-136
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• 2011

Since out of a lot of traffic problems traffic accidents cause damage to life and properties of people, it stands out as one of traffic problems which needs improvement, and the loss due to traffic accident negatively affects not only the parties to the accident but also the national economy. Thus, continual concern of the government toward traffic safety is getting bigger and lately each local government is preparing a basic plan for traffic safety and vitalizing traffic safety policies. As expanding the responsibility and role of local governments for traffic safety, traffic safety measures which are based on the characteristics of each local government should be studied. Most of analytical methods in the existing traffic accidents prediction models with macroscopic vision focus on socioeconomic variables such as local population and the number of registered vehicles, and present a great deal of prediction error when they are applied in practice. In this context, this study proposed a traffic accident prediction model in respect of macroscopic level for autonomous districts (administrative districts) of Seoul City. The model development was not based on the entire city but on the type of local land usage (development density) whose relationship with traffic accident frequency was analyzed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.735-744
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• 2016

Recently, personal information leakage incidents with increased usage of mobile services are increasing. Personal information leakage incidents can have a significant impact on an individual's mobile banking services. Accordingly, we examine relationships among individual's psychological characteristics, intention and behavior regarding compliance in an individual's perception on personal information leakage incidents in mobile banking contexts. In this study, for explaining our research model and understanding with personal psychology and behavior in mobile banking contexts, we adopted two theories, theory of interpersonal behavior and stimulus-response theory. We collected the 55 data using online surveyor and then analyzed structural equation model in order to find causal relationships among research variables. The results of this study should be useful to the mobile banking services companies in promoting service users to follow the information privacy policies.